A Radical Shift in Automation
Alfie masters the variability traditional robotics can’t — making Autonomous Industrial Robotics a scalable reality for your production.
Alfie marks a radical shift from rigid automation to self-learning systems. Currently in the prototyping stage, Alfie is being developed for upcoming real-world deployments.
Designed specifically to master unstructured environments, Alfie tackles complex processes that traditionally resisted automation. It transforms the factory floor by moving beyond repetition to true, self-learned adaptability.
Capabilities
Automate What Was Previous Impossible
Mastering Variability
Handle unstructured environments and adapt to dynamic changes in real-time.
Stay ahead of production changes without the need for downtime.
Bimanual Precision
Enable bimanual sensitive handling for machine tending, intralogistics, and assembly.
Master unstructured workflows and high variance tasks that were previously impossible to automate.
Self-Learned Improvements
Leverage Physical AI to improve on the job and minimize manual intervention.
Eliminate rigid pre-programming and allow the system to adapt to new tasks on the fly.
Autonomy
Pushing Autonomous Industrial Robotics to Level 4 Autonomy
As an Autonomous Industrial Robot, Alfie advances robotics toward Level 3 and 4 autonomy, where systems learn, adapt, and execute tasks with minimal human intervention.
By combining bimanual manipulation with Physical AI, Alfie handles complex processes involving high variation in parts and tasks. Unlike traditional robotics limited to repetitive applications, Alfie is built for dynamic environments, and continuously improves its awareness and execution to manage constant change.
It leverages self-learning policies to adapt to new objects and workflows without the need for extensive manual programming.
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Concept Robot @ RobCo
Alfie Takes on Any Tasks
Built for the Real Factory Floor
High part variance, changing layouts, mixed containers — the processes rigid cells were never able to hold.